The summer term is approximately four weeks, starting in early July.

• CS 5010: Programming and Systems for Data Science | Credits: 3
• STAT 6430: Statistical Computing for Data Science | Credits: 3

• STAT 6021: Linear Models for Data Science | Credits: 3
• CS 5012: Foundations of Computer Science | Credits: 3
• SYS 6018: Data Mining | Credits: 3
• DS 6001: Practice and Application of Data Science I | Credits: 2
• DS 6002: Ethics of Big Data | Credits: 2
• DS 6011: Data Science Capstone Project Work I | Credits: 1

• SYS 6016: Machine Learning | Credits: 3
• DS 6003: Practice and Application of Data Science II | Credits: 2
• DS 6013: Data Science Capstone Project Work II | Credits: 1
• Elective 1
• Elective 2

You will choose your electives in consultation with the program director. There are a variety of electives available, including (but not limited) to those suggested in the Graduate Record. Students are required to take 6 credits of elective courses, which occur in the spring term.

Elective courses must be at the 5000 level or higher to count for elective credit in program unless further approval is obtained.

• CS 6160: Theory of Computation
• CS 6444: Parallel Computing
• CS 6501: Special Topics in Computer Science (Topics approved by the DSI). Examples of accepted topics are: Text Mining, Cloud Computing, Defense Against the Dark Arts, Vision & Language.
• CS 6750: Database Systems

• DS 6559: Biomedical Cloud Computing Seminar 

• ECON 8720: Time Series Econometrics

• ECON 7720: Econometrics II
• EVSC 7070: Advanced Use of Geographical Information Systems
• GCOM 7240: Advanced Quantitative Analysis
• PHS 5705: Recent Advances in Public Health Genomics
• PHS 7310: Clinical Trials Methodology
• PSYC 5720: Fundamentals of Item Response Theory
• PSYC 7760: Introduction to Applied Multivariate Methods
• SARC 5400: Data Visualization
• STAT 6250: Longitudinal Data Analysis
• STAT 6260: Categorical Data Analysis
• SYS 6023: Cognitive Systems Engineering
• SYS 6050: Risk Analysis
• SYS 6582: Selected Topics in Systems Engineering (Topics approved by the DSI). Examples of accepted topics are: Reinforcement learning, User Experience Design, Sensors & Perception.
• SYS 7001: System and Decision Sciences

Other electives are possible, depending on available courses and as approved by the Program Director.